Memorability of pre-designed and user-defined gesture sets
Abstract
We studied the memorability of free-form gesture sets for invoking actions. We compared three types of gesture sets: user-defined gesture sets, gesture sets designed by the authors, and random gesture sets in three studies with 33 participants in total. We found that user-defined gestures are easier to remember, both immediately after creation and on the next day (up to a 24% difference in recall rate compared to pre-designed gestures). We also discovered that the differences between gesture sets are mostly due to association errors (rather than gesture form errors), that participants prefer user-defined sets, and that they think user-defined gestures take less time to learn. Finally, we contribute a qualitative analysis of the tradeoffs involved in gesture type selection and share our data and a video corpus of 66 gestures for replicability and further analysis.
Citation
Nacenta , M , Kamber , Y , Qiang , Y & Kristensson , P O 2013 , Memorability of pre-designed and user-defined gesture sets . in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2013) . ACM , New York , pp. 1099-1108 , ACM SIGCHI Conference on Human Factors in Computing Systems , Paris , France , 27/04/13 . https://doi.org/10.1145/2470654.2466142 conference
Publication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2013)
Type
Conference item
Rights
This data is available to download freely without any restrictions. A citation to the original paper is requested if used in a publication. A quick note to the authors is appreciated if this data is used elsewhere. © ACM 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13), http://dx.doi.org/10.1145/2470654.2466142 The copy of record of the paper can be found in: http://dl.acm.org/citation.cfm?doid=2470654.2466142
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